Results 221 to 230 of about 32,702 (254)

Separation of deterministic signals using independent component analysis (ICA)

Studia Geophysica et Geodaetica, 2012
Independent Component Analysis (ICA) represents a higher-order statistical technique that is often used to separate mixtures of stochastic random signals into statistically independent sources. Its benefit is that it only relies on the information contained in the observations, i.e.
Ehsan Forootan, Jürgen Kusche
openaire   +1 more source

Adaptive image fusion technology based on ICA (independent component analysis)

Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024)
Wei Lu, Qi Sun, Aishu Li
exaly   +2 more sources

An empirical method to select dominant independent components in ICA for time series analysis

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339), 2003
Back and Weigend (1997) showed that the dominant independent components obtained by independent component analysis (ICA) can reveal more underlying structure of the time series than principal component analysis. To find those dominant independent components, all the independent components are listed in an appropriate order and then a subset of ...
Yiu-Ming Cheung, Lei Xu 0001
openaire   +1 more source

Blind calibration of five-port receiver based on Independent Component Analysis (ICA)

2013 Wireless Telecommunications Symposium (WTS), 2013
Five-port direct conversion receiver has been demonstrated as an interesting alternative for application in software-defined radio since its design is simple and it can operate in a wide range of frequencies. However, in order to carry out in-phase and quadrature demodulation, the five-port receiver must be calibrated for each frequency and modulation ...
Francisco Vidal, Adrião Duarte Dória Neto, Allan de Medeiros Martins, Bernard Huyart   +3 more
openaire   +1 more source

A Grid Application for an Evaluation of Brain Function using Independent Component Analysis (ICA)

2nd IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID'02), 2003
For the effective and early diagnosis of brain diseases, we have developed an evaluation system for brain function using an Independent Component Analysis (ICA) method. This evaluation system benefits greatly from the newly emerged Grid. To embody a Grid environment, a Globus grid toolkit has been utilized as a building block.
Yuko Mizuno-Matsumoto, Susumu Date, Takeshi Kaishima, Youki Kadobayashi, Shinji Shimojo   +4 more
openaire   +1 more source

An Independent Component Analysis (ICA) Based Approach for EEG Person Authentication

2009 3rd International Conference on Bioinformatics and Biomedical Engineering, 2009
Exploring brain electrical activity represented by electroencephalogram (EEG) signals for biometric applications has recently attracted increasing research attention since EEG pattern has been shown to be unique for each individual. In this paper, we propose an Independent Component Analysis (ICA) based EEG feature extraction and modeling approach for ...
Chen He, Jane Wang
openaire   +1 more source

Analysis on Saccade-Related Independent Components by Various ICA Algorithms for Developing BCI

2009
Saccade-related electroencephalogram (EEG) signals have been the subject of application oriented research by our group toward developing a brain computer interface (BCI). Our goal is to develop novel BCI based on eye movements system employing EEG signals on-line.
Arao Funase, Motoaki Mouri, Tohru Yagi, Andrzej Cichocki, Ichi Takumi   +4 more
openaire   +1 more source

Application of independent component analysis (ICA) method to the Raman spectra processing

SPIE Proceedings, 2005
Independent component analysis (ICA) method was applied as a processing step for Raman spectra. 136 Raman spectra were acquired from urine samples from 18 subjects. Each spectrum was acquired from different sample. 785nm, 100mW (at sample) laser with 2048 element linear silicon TE cooled CCD were used.
So Hyun Chung, Cheol Soo Park, Kwang Suk Park   +2 more
openaire   +1 more source

An overview of ICA (independent component analysis) applications in remote sensed data

SPIE Proceedings, 2005
ICA has been a well studied subject in recent years. Its implementation may employ neural networks or adaptive learning techniques. In contrast to PCA, the objective of ICA is to extract components with high-order statistical independence. The concept and process of deriving the independent components have had motivated the development of many ...
C. H. Chen, Zhenhai Wang
openaire   +1 more source

Independent components analysis with the JADE algorithm – Why ICA"

2014
absent
Rutledge, Douglas, Jouan-Rimbaud Bouveresse, Delphine   +1 more
openaire   +1 more source